Join Adam Geitgey for an in-depth discussion in this video What is a neural network?, part of Deep Learning: Image Recognition.
- [Instructor] Image recognition is the ability…for computers to look at a photograph…and understand what's in the photograph.…Here we're passing in a picture to the neural network,…and the neural network is generating a label, dog,…because that's the main object…that appears in the picture.…In the past few years,…researchers have made huge breakthroughs…in image recognition thanks to neural networks.…Using neural networks,…it's now possible to recognize objects…and photographs with high accuracy.…Let's take a quick look at the inner workings…and structure of a neural network.…A neural network is made up…of separate nodes called neurons.…
These neurons are arranged…into a series of groups called layers.…Nodes in each layer are connected…to the nodes in the following layer.…Data flows from the input to the output…along these connections.…Each individual node is trained to perform…a simple mathematical calculation…and then feed its result…to all the nodes it's connected to.…The neural network takes in a set…of input values in the input layer.…
Author
Released
9/21/2018- Classifying images
- Designing an image recognition system
- Building a deep neural network
- Training a deep neural network
- Modifying pre-trained neural networks
- Using image recognition APIs
- Deploying a deep neural network
Skill Level Intermediate
Duration
Views
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Introduction
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Exercise files31s
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1. Setting Up Your Development Environment
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2. How Image Classification Works
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What is a neural network?1m 32s
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3. Designing a Deep Neural Network for Image Recognition
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Dense layers3m 27s
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Convolution layers5m 15s
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Max pooling1m 40s
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Dropout1m 54s
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4. Building and Training the Deep Neural Network
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5. Fine-Tuning Pre-trained Neural Networks
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6. Using an Image Recognition API
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Conclusion
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Next steps27s
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Video: What is a neural network?